Huang, Haitao
Yang, Qinqin https://orcid.org/0000-0002-8927-3931
Wang, Jiechao
Zhang, Pujie
Cai, Shuhui https://orcid.org/0000-0003-2767-9490
Cai, Congbo
Funding for this research was provided by:
National Natural Science Foundation of China (82071913, 22161142024, U1805261)
the National Key R&D Program of China (2022YFC2402102)
Science and Technology Project of Fujian Province of China (2021Y9154)
Article Title: High-efficient Bloch simulation of magnetic resonance imaging sequences based on deep learning
Journal Title: Physics in Medicine & Biology
Article Type: paper
Copyright Information: © 2023 Institute of Physics and Engineering in Medicine. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
Publication dates
Date Received: 2022-10-22
Date Accepted: 2023-03-15
Online publication date: 2023-04-03